Only 24% of app reviews get a reply — see how 13 industries compare

Three out of four app reviews never get a developer reply. That's the market average AppFollow found across 92.9 million reviews and roughly 20,700 apps, tracked on the Apple App Store and Google Play from July 2025 to July 2026, across 13 industries. Reply rate lands at 24.2% market-wide, and only one industry clears the halfway mark.

For app reputation, a reply is often the only visible sign that anyone is behind the product at all. This is also one of the clearest data points available for benchmarking app store reputation management performance against real peers, not guesswork.

What follows breaks that average down by industry and shows what a reply is actually worth to a rating, with a table at the end to find your own row in.

Key insights

• Market-wide reply rate is 24.2%. Finance is the only industry above 50%, at 51%; Social sits lowest, answering 9% of its reviews.
• Reply speed ranges from 43 hours (Finance) to 204 hours (Education) — a gap of roughly 4.7x.
• Reply effect, the rating lift tied to a developer reply, runs from +1.39 points (Health & Sports) down to –0.58 (Education).
• Productivity holds both the highest average rating (4.36) and the strongest sentiment score of the 13 industries.
• Apps that run review management through AppFollow answer 41% of their reviews, against the 24.5% open-market figure for the same period.

Methodology

AppFollow pulled this dataset from the twelve months ending July 2026, combining Apple App Store and Google Play activity into one figure per industry.

The 13 industries are AppFollow's own tracked categories, with every game subgenre folded into a single Games category. Apps were selected by review volume within each industry, giving close to full coverage on the standard metrics.

Reply rate, reply time, reply effect, sentiment score, and automation rate are AppFollow-native metrics with fixed definitions; the full methodology, including what this data does not cover, is at the end of this article.

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What counts as a good reply rate for app store reviews?

A 24.2% average sounds low until you see how uneven it is underneath. AppFollow scores review response rate into four bands, useful as a quick self-check before you look up your own industry:

REPLY RATE	PERFORMANCE
80% and up	Excellent
60–80%	Good
30–60%	Average
Under 30%	Needs improvement

By that scale, the market as a whole needs improvement: 24.2% sits below the 30% floor for an average performer. Finance is the only industry that clears the halfway point, at 51%. That's roughly the difference between a team that treats reviews as a working queue and one that treats them as background noise.

Social sits at the opposite end, answering just 9% — the lowest reply rate AppFollow recorded across all 13 industries.

That gap is too large to explain away as category maturity. App store reviews shape how a prospective user judges an app before they install it. A reply rate this low across the market doesn't mean most companies are actively choosing to skip review management — it means they simply have no process for it at all.

How fast do top apps reply to app store reviews?

Answering matters. Answering while the reviewer still remembers writing the review matters more. AppFollow measures this as reply time — the average gap between a review landing and a developer replying to it — and scores it on a similar four-tier scale:

REPLY TIME	PERFORMANCE
Under 24 hours	Excellent
1–3 days	Good
3–7 days	Average
Over 7 days	Needs improvement

Finance again leads, replying in 43 hours on average. Education trails at 204 hours — 4.7 times slower, and comfortably into "needs improvement" territory. That's not a rounding difference. It's the gap between a reply landing inside two days and one landing more than a week later, by which point most reviewers have moved on.

“The 72-hour mark should be treated as an operating threshold, not as a switch that suddenly makes a reply useless. The longer a review sits unanswered, the harder it becomes to recover the conversation: the user loses context, another app version may be released, and the team may need additional investigation before it can respond.

• Use the SLA to control the queue.
• Answer routine feedback quickly, but route payment, account-access, and detailed bug reports to a named owner with the relevant context attached.
• Track both overall reply time and the percentage of reviews answered within the SLA—an acceptable average can still hide a backlog of old, high-risk reviews.”

— Lucija Knezic, Senior CSM & Product Strategy Manager at AppFollow

The 72-hour mark is the point past which a reply to a negative review is least likely to move the reviewer's rating. A reader who has already stopped thinking about your app is unlikely to revisit their star rating just because you finally answered.

Plenty of guides explain how to respond to app store reviews step by step; turning that into a habit the whole team hits inside 72 hours is the harder part. Reply rate and reply speed both measure effort. The next question is whether that effort pays off at all.

Does replying to a review actually move your rating?

This is the question everyone actually wants answered. AppFollow calls the metric reply effect: whether a user changed their star rating within three months of getting a developer reply. Across the market, it varies more by industry than either reply rate or reply speed.

Health & Sports shows the strongest effect in the dataset, a 1.39-point rating lift tied to replies. Auto & Vehicles, Business, and Lifestyle aren't far behind. Education sits at –0.58, one of two industries where the effect runs slightly negative; Social is the other.

AppFollow's own analysis attributes this to which reviews tend to draw a reply in those categories — often the angriest ones, on a comparatively small sample.

“The spread from a +1.39 Reply Effect in Health & Sports to –0.58 in Education is exactly why this metric should not be read as proof that a reply alone caused the rating change.
A release, bug fix, promotion, or change in the type of reviews being answered can affect the same cohort. Compare replied and unreplied reviews from the same app version and market, check what percentage of replied reviews were subsequently updated, and then examine the direction of the rating change. ”

— Yaroslav Rudnitskiy, Senior Professional Services Manager (ASO) at AppFollow

The practical translation, from AppFollow's own client data: closing a 10-percentage-point reply-rate gap tends to move an app's rating by roughly 0.3 to 0.5 stars. That's a small number until you remember how ratings get used — as a filter before a download, and as a signal search algorithms weigh. Reply effect explains why replying is worth the effort. Rating and sentiment show who is winning on that effort right now.

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Which industries have the happiest app users?

Rating tells you the score. Sentiment reads the actual text of a review and lands on a number, so it tells you how a user felt even when the star count doesn't fully capture it. Together they answer which industries keep users satisfied, not just which ones avoid complaints.

• Productivity leads on both: a 4.36 average rating and the strongest sentiment score in the set, at 74.8. 
• Education and Finance sit close behind on sentiment. 
• At the other end, Social and Auto & Vehicles carry the lowest ratings, both around 3.77. 
• Lifestyle has the weakest sentiment score of all, at 48.5, despite a rating that looks unremarkable rather than bad. 

That gap between a fine-looking rating and a weak sentiment score is worth noticing on its own. It usually means users are venting about something specific in the text — something the star count alone won't show you.

“A 4.10 rating paired with a 48.5 sentiment score is not a contradiction; it is a signal to segment the review text. Aggregate ratings can move slowly while recent reviews become noticeably more negative around one release, country, feature, or recurring support problem.
Break sentiment down by app version, market, rating, and topic, then compare the affected cohort with support contacts, cancellations, or another business metric your team owns.”
— Karen Taborda, Customer Growth Team Lead at AppFollow

How does your industry compare across reply rate, speed, rating, and sentiment?

Here is the full picture: all 13 industries AppFollow tracked, side by side on the four metrics covered above.

INDUSTRY	RATING	REPLY RATE	REPLY TIME	SENTIMENT
Finance	4.17	51%	43h	70
Shopping	4.03	36%	99h	64
Travel & Local	3.79	33%	108h	66
Auto & Vehicles	3.77	33%	139h	55
Education	4.16	29%	204h	71
Lifestyle	4.10	25%	110h	48
Health & Sports	4.13	21%	143h	68
Games	4.02	20%	102h	64
Business	3.98	16%	97h	64
Entertainment	4.06	15%	76h	61
Music & Audio	4.19	12%	84h	68
Productivity	4.36	12%	105h	75
Social	3.77	9%	62h	57

Find your row, then look for the metric where you're furthest behind the pack. That's usually the cheapest place to improve, because it's where the same effort makes the most relative difference. If you run a gaming app, AppFollow published a deeper, gaming-only cut of this same kind of data, with its own leaderboard of individual titles.

The market number is one thing. What happens once a team actually runs review management as a process, rather than answering reviews when someone remembers to, is another.

What changes when companies actually manage reviews as a process?

Apps that run review management through AppFollow answer 41% of their reviews, against the 24.5% open-market average for the same period — nearly double. They also automate most of that work rather than growing headcount to cover it. That's the practical core of app reputation management: making the reply happen by default, not by whoever remembers to check the queue.

“Moving from a market-level reply rate in the mid-20s to 41% is mainly a queue-design problem. Start with an eligibility matrix: repetitive, low-risk reviews can receive an approved automated response, while payment problems, account-access cases, safety concerns, and detailed bug reports stay with a human.
Use rating, keywords, sentiment, and language to categorize or route incoming reviews, assign owners for the exceptions, and review what automation could not handle. ”
— Ilia Kukharev, Product Manager at AppFollow

That gap isn't a claim about what's theoretically possible — it's what AppFollow's own client base does differently, on the same dataset used throughout this article.

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How to close your reply gap this week

1. Find your industry's row in the comparison table above and note which of the four metrics you're furthest behind on.
2. Pull your most recent unanswered reviews and sort for anything carrying a rating change or a bug mention — answer those first.
3. Set a 72-hour internal SLA for new reviews, even if you can't hit it immediately; it gives you a number to measure against.
4. Revisit your reply rate in 30 days against the band table in the first section, not against last year's number.

Turn a 72-hour reply window into a rule your team doesn't have to think about

Everything above assumes someone remembers to check the queue, triage it correctly, and hit the 72-hour window every single day. That's the part that breaks first when a team tries to close the gap between a 24% and a 41% reply rate by working harder rather than changing the process.

[Visual brief — not yet captured: an AppFollow review inbox or automation rule-builder screenshot, cropped to the triage decision point (which reviews route to an automated reply vs. which get flagged for a human). Caption: "Automated triage rules route routine replies while flagging reviews with a rating change or bug mention for a human response." Alt text: "AppFollow review automation rule builder showing triage by rating and keyword." Mark as Illustrative AppFollow dashboard if a mock-up is used instead of a live capture. Approval owner: content/product marketing before publish.]

AppFollow's AI-powered review management tools are built around the same triage logic covered above:

• AI-generated replies for routine reviews, with tone and language matching, so the reply still sounds like your team.
• Workflow automation that auto-routes and prioritizes incoming reviews by rating and keyword, instead of a flat, recency-sorted queue.
• Sentiment analysis that flags which reviews need a human response rather than an automated one.
• The App Reputation Index, for tracking your own reply rate, speed, rating, and sentiment against this same benchmark going forward.

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FAQ

What's a good reply rate for app store reviews?

Anything above 60% counts as good on AppFollow's scale, and 80% or higher is excellent. The 2026 market average is 24.2%, and only Finance clears 50% — so "good" and "typical" are currently two very different numbers.

How fast should you reply to a negative app review?

Inside 72 hours. Past that window, reply effect data shows a reply is far less likely to move the reviewer's rating, even if the reply itself is a good one.

Does replying to app reviews actually move your star rating?

On average, yes — but the size of the effect depends heavily on industry, ranging from a 1.39-point lift in Health & Sports to a slightly negative effect in Education, where the reviews that draw a reply tend to be the angriest ones on a smaller sample.

Why do reply rates vary so much between industries?

Review volume, team size, and how repetitive each industry's complaints are all play a role. Finance's complaints tend to be high-stakes but repetitive, which suits automation; Social's complaints are more varied, which makes blanket automation harder to apply well.

What data is this benchmark based on?

92.9 million reviews across roughly 20,700 apps on the Apple App Store and Google Play, from July 2025 to July 2026, tracked through AppFollow. Full methodology is below.

Methodology and limitations

This dataset covers the twelve months ending July 2026, across the Apple App Store and Google Play, with each industry figure combining both stores. AppFollow tracks 13 industries; every game subgenre is folded into a single Games category, which is why the number is 13 rather than higher. Apps were selected by review volume within each industry, giving close to complete coverage on the standard metrics covered in this article.

Reply rate, reply time, reply effect, sentiment score, and automation rate are AppFollow-native metrics: reply rate is the share of reviews that received any developer reply; reply time is the average gap between a review and its reply; reply effect tracks whether a reviewer's rating changed within three months of a reply; sentiment score reads review text and produces a score where higher is more positive; automation rate is the share of replies sent through an automated workflow.

Two limitations are worth stating plainly. First, this data covers the worldwide picture only — country-level differences exist but aren't broken out here. Second, the market-wide figures already include AppFollow's own client apps within them. That means the client-vs-market comparison in this article understates the real gap between client apps and a purely non-client market. Treat the 41% vs. 24.5% figure as a conservative floor on that gap, not the full picture.

Source: https://get.appfollow.io/app-reputation-benchmarks-2026